TY - JOUR
T1 - Game-theoretic analysis of market-based operation mechanism for demand response resources
AU - Wang, Xian
AU - Yang, Jiaying
AU - Zhang, Kai
AU - Zhang, Shaohua
AU - Wu, Lei
N1 - Publisher Copyright:
© 2021 The Authors
PY - 2022/1
Y1 - 2022/1
N2 - While it is well recognized that demand response (DR) can improve efficiency of the wholesale electricity market, many challenges remain to be addressed regarding DR resources’ market-based operation mechanisms and specifically, how to encourage DR resources to participate in the wholesale electricity market. This paper presents a market-based operation mechanism for DR resources to participate in a day-ahead wholesale electricity market. A specific DR exchange (DRX) market is built for a demand response aggregator (DRA) to trade DR resources with DR providers, and the DRA can bid strategically and compete with other participants in the wholesale electricity market. In order to encourage the DRA to participate in the wholesale market, an incentive compensation method is also introduced, in which the DRA can receive payment from retailers because retailers earn extra profits from the DRA's participation in the wholesale market. To examine the effectiveness of the mechanism, a game-theoretic model for the interaction among participants in the wholesale electricity market and the DRX market is proposed. In this model, the supply function bid form is employed by both the DRA and generators in the wholesale market, and also by the DR providers in the DRX market. The existence and uniqueness of the Nash equilibrium is demonstrated analytically. In addition, in order to tackle the information asymmetry in practical application, a distributed algorithm is developed to obtain the equilibrium outcomes. Finally, the effectiveness of the proposed model and algorithms is validated by numerical examples. It is also shown that in the proposed market-based operation mechanism, the DRA has an incentive to voluntarily participate in the competition of the wholesale electricity market.
AB - While it is well recognized that demand response (DR) can improve efficiency of the wholesale electricity market, many challenges remain to be addressed regarding DR resources’ market-based operation mechanisms and specifically, how to encourage DR resources to participate in the wholesale electricity market. This paper presents a market-based operation mechanism for DR resources to participate in a day-ahead wholesale electricity market. A specific DR exchange (DRX) market is built for a demand response aggregator (DRA) to trade DR resources with DR providers, and the DRA can bid strategically and compete with other participants in the wholesale electricity market. In order to encourage the DRA to participate in the wholesale market, an incentive compensation method is also introduced, in which the DRA can receive payment from retailers because retailers earn extra profits from the DRA's participation in the wholesale market. To examine the effectiveness of the mechanism, a game-theoretic model for the interaction among participants in the wholesale electricity market and the DRX market is proposed. In this model, the supply function bid form is employed by both the DRA and generators in the wholesale market, and also by the DR providers in the DRX market. The existence and uniqueness of the Nash equilibrium is demonstrated analytically. In addition, in order to tackle the information asymmetry in practical application, a distributed algorithm is developed to obtain the equilibrium outcomes. Finally, the effectiveness of the proposed model and algorithms is validated by numerical examples. It is also shown that in the proposed market-based operation mechanism, the DRA has an incentive to voluntarily participate in the competition of the wholesale electricity market.
KW - Demand response aggregator
KW - Demand response exchange market
KW - Distributed algorithm
KW - Equilibrium model
KW - Game-theoretic analysis
KW - Wholesale electricity market
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U2 - 10.1016/j.ijepes.2021.107456
DO - 10.1016/j.ijepes.2021.107456
M3 - Article
AN - SCOPUS:85112022555
SN - 0142-0615
VL - 134
JO - International Journal of Electrical Power and Energy Systems
JF - International Journal of Electrical Power and Energy Systems
M1 - 107456
ER -